Cargando…
A Structure-Aware Convolutional Neural Network for Automatic Diagnosis of Fungal Keratitis with In Vivo Confocal Microscopy Images
Fungal keratitis (FK) is a common and severe corneal disease, which is widely spread in tropical and subtropical areas. Early diagnosis and treatment are vital for patients, with confocal microscopy cornea imaging being one of the most effective methods for the diagnosis of FK. However, most cases a...
Autores principales: | Liang, Shanshan, Zhong, Jing, Zeng, Hongwei, Zhong, Peixun, Li, Saiqun, Liu, Huijun, Yuan, Jin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406782/ https://www.ncbi.nlm.nih.gov/pubmed/37014469 http://dx.doi.org/10.1007/s10278-021-00549-9 |
Ejemplares similares
-
Fungal Keratitis – Improving Diagnostics by Confocal Microscopy
por: Nielsen, E., et al.
Publicado: (2013) -
In vivo confocal microscopy appearance of Fusarium and Aspergillus species in fungal keratitis
por: Chidambaram, Jaya Devi, et al.
Publicado: (2017) -
Pseudomonas aeruginosa keratitis misdiagnosed as fungal keratitis by in vivo confocal microscopy: a case report
por: Hong, Jiaxu, et al.
Publicado: (2014) -
Deep learning-based automated diagnosis of fungal keratitis with in vivo confocal microscopy images
por: Lv, Jian, et al.
Publicado: (2020) -
In Vivo Confocal Microscopy Cellular Features of Host and Organism in Bacterial, Fungal, and Acanthamoeba Keratitis
por: Chidambaram, Jaya D., et al.
Publicado: (2018)